A eficácia entre duas intervenções na Síndrome do Canal Cárpico

A Síndrome do Canal Cárpico (SCC) é a neuropatia compressiva mais comum do membro superior, causada pela compressão direta sobre o nervo mediano no interior do canal cárpico.Os resultados deste estudo mostram em cada um dos grupos, após a intervenção, uma melhoria estatisticamente significativa da sintomatologia no G-AFN (p=0,02) e no GTRN/ EAA (p=0,004) e uma melhoria estatisticamente significativa do estado funcional no G-AFN (p=0,022). Verificamos também em cada um dos grupos, após a intervenção, uma melhoria estatisticamente significativa na “Força de preensão” (p=0,005), na “Pinça polegar/dedo indicador” (p=0,021), na “Pinça polegar/dedo médio” (p=0,026) e “Pinça polegar/dedo anular” (p=0,026) no G-AFN, e uma melhoria estatisticamente significativa na “Pinça polegar/indicador” (p=0,016), na “Pinça polegar/dedo médio” (p=0,035), na “Pinça polegar/dedo anular” (p=0,010), na “Pinça trípode” (p=0,005) e na “Pinça lateral” (p=0,051) no G-TRN/EAA. Após a intervenção, não verificamos diferenças estatisticamente significativas nos valores das escalas de gravidade de sintomas (p=0,853) e de estado funcional (p=0,148) entre os grupos, mas diferenças estatisticamente significativas nos valores dos testes neurofisiológicos (p=0,047) e força de preensão da mão (p=0,005). Do estudo, concluímos que a utilização da intervenção articular/fascial/neural (AFN) e a intervenção com tala de repouso noturna e exercícios de auto alongamento (TRN/EAA), beneficia os indivíduos com SCC não severa, como nos casos incipientes, ligeiros ou moderados. Os indivíduos com esta condição clínica apresentam sintomatologia caraterística de dor, parestesia, especialmente noturna e disfunção muscular da mão. Tais manifestações originam perda funcional com implicações nas áreas de desempenho ocupacional, nomeadamente, nas atividades da vida diária, produtivas e de lazer. O tratamento conservador na SCC não severa, como nos casos incipientes, ligeiros e moderados, apesar de controverso, é recomendado. O tema suscita o nosso interesse, razão pela qual nos propomos realizar um estudo experimental em indivíduos com o diagnóstico clínico de SCC não severa e aplicar num grupo a intervenção articular, fascial e neural (AFN) e noutro grupo a intervenção com tala de repouso noturna e exercícios de auto alongamento (TRN/EAA). O estudo tem como principais objetivos, por um lado, verificar o impacto das intervenções em cada um dos grupos e, por outro lado, comparar o seu impacto entre os grupos, no que respeita à gravidade de sintomas, ao estado funcional, à força de preensão da mão e força de pinças finas. Fomos também comparar os resultados dos testes neurofisiológicos (Velocidade de Condução Motora) antes e depois da intervenção AFN e da intervenção com TRN/EAA, e averiguar o seu impacto nos valores da latência motora distal e da velocidade de condução sensitiva, entre os grupos. Identificamos também quais as variáveis sócio demográficas e as que caraterizam a patologia que estão relacionadas com o problema em estudo e com os valores obtidos com as escalas do Boston Carpal Tunnel Questionnaire (BCTQ), no grupo articular, fascial e neural (G-AFN) e no grupo com tala de repouso noturna e exercícios de auto alongamento (G-TRN/EAA). Para a concretização do estudo, recorremos a uma amostra de 23 indivíduos de ambos os sexos do Hospital Curry Cabral, Empresa Pública Empresarial -Centro Hospitalar de Lisboa Central (HCC, EPE -CHLC).

La condition de la femme dans le cid

La tragi-comédie de Corneille, «Le Cid» (1636-7), est davantage une pièce d‘amour qui illustre bien la condition de la femme au XVIIème siècle. Le triangle amoureux constitué par l‘Infante, Chimène et Rodrigue est l‘un des fondements de la pièce. Cependant, comme les personnages sont insérés dans un système féodal basé sur une idéologie aristocratique, l‘amour ne se présente pas comme une jouissance paisible. De cette façon, il y a une lutte acharnée entre l‘amour, le devoir et l‘honneur, ce qui est frappant au niveau lexical. Les personnages les plus jeunes utilisent beaucoup de mots associés au thème de l‘amour et qui ont le radical amour-, tandis que les plus âgés emploient très souvent des mots qui appartiennent au champ lexical de l‘honneur et de la gloire. Selon D. Diègue, l‘honneur a plus de puissance que l‘amour, et il trouve que l‘homme qui s‘endort dans l‘amour oublie ses devoirs. Pour l‘Infante, Chimène et Rodrigue, l‘amour est lié à la souffrance. L‘Infante souffre, mais elle se conforme, parce qu‘étant donné qu‘elle est fille de roi, elle ne peut pas aimer Rodrigue qui appartient à un rang inférieur. Chimène est le revers de l‘Infante, c‘est une femme rebelle qui veut mouler sa destinée. Cependant, tout au long de la pièce, l‘héroïne est assujettie à une force mâle: si parfois l‘amour entre elle et Rodrigue ressemble à l‘amour courtois du Moyen âge quand il se met à la disposition de sa maîtresse et la place au-dessus de lui, la plupart du temps il met la passion en dessous de l‘honneur, parce que c‘est un homme et descend d‘une famille de guerriers vaillants. Selon le code chevaleresque dans lequel il est inséré la femme est inférieure à l‘homme. À la fin de la pièce, il y a une victoire de l‘amour sur l‘honneur et le devoir : Chimène abdique de son honneur en pardonnant et en prenant pour mari l‘assassin de son père. Le monde de l‘élément masculin triomphe et elle devient le prix de la victoire de Rodrigue. Mais si son statut de femme l‘empêche de sortir victorieuse, elle ne se conforme pas et dans sa dernière tirade elle met en question la justice et défie la société féodale.

Gold electrode modified by self-assembled monolayers of thiols to determine DNA sequences hybridization

The process of immobilization of biological molecules is one of the most important steps in the construction of a biosensor. In the case of DNA, the way it exposes its bases can result in electrochemical signals to acceptable levels. The use of self-assembled monolayer that allows a connection to the gold thiol group and DNA binding to an aldehydic ligand resulted in the possibility of determining DNA hybridization. Immobilized single strand of DNA (ssDNA) from calf thymus pre-formed from alkanethiol film was formed by incubating a solution of 2-aminoethanothiol (Cys) followed by glutaraldehyde (Glu). Cyclic voltammetry (CV) was used to characterize the self-assembled monolayer on the gold electrode and, also, to study the immobilization of ssDNA probe and hybridization with the complementary sequence (target ssDNA). The ssDNA probe presents a well-defined oxidation peak at +0.158 V. When the hybridization occurs, this peak disappears which confirms the efficacy of the annealing and the DNA double helix performing without the presence of electroactive indicators. The use of SAM resulted in a stable immobilization of the ssDNA probe, enabling the hybridization detection without labels. This study represents a promising approach for molecular biosensor with sensible and reproducible results.

Self-mated tribological systems based on multilayer micro/nanocrystalline CVD diamond coatings

The tribological response of multilayer micro/nanocrystalline diamond coatings grown by the hot filament CVD technique is investigated. These multigrade systems were tailored to comprise a starting microcrystalline diamond (MCD) layer with high adhesion to a silicon nitride (Si3N4) ceramic substrate, and a top nanocrystalline diamond (NCD) layer with reduced surface roughness. Tribological tests were carried out with a reciprocating sliding configuration without lubrication. Such composite coatings exhibit a superior critical load before delamination (130–200 N), when compared to the mono- (60–100 N) and bilayer coatings (110 N), considering ∼10 µm thick films. Regarding the friction behaviour, a short-lived initial high friction coefficient was followed by low friction regimes (friction coefficients between 0.02 and 0.09) as a result of the polished surfaces tailored by the tribological solicitation. Very mild to mild wear regimes (wear coefficient values between 4.1×10−8 and 7.7×10−7 mm3 N−1 m−1) governed the wear performance of the self-mated multilayer coatings when subjected to high-load short-term tests (60–200 N; 2 h; 86 m) and medium-load endurance tests (60 N; 16 h; 691 m).

Self-similarity principle: the reduced description of randomness

A new general fitting method based on the Self-Similar (SS) organization of random sequences is presented. The proposed analytical function helps to fit the response of many complex systems when their recorded data form a self-similar curve. The verified SS principle opens new possibilities for the fitting of economical, meteorological and other complex data when the mathematical model is absent but the reduced description in terms of some universal set of the fitting parameters is necessary. This fitting function is verified on economical (price of a commodity versus time) and weather (the Earth’s mean temperature surface data versus time) and for these nontrivial cases it becomes possible to receive a very good fit of initial data set. The general conditions of application of this fitting method describing the response of many complex systems and the forecast possibilities are discussed.

Neural networks for condition monitoring of wind turbines gearbox

Wind energy is considered a hope in future as a clean and sustainable energy, as can be seen by the growing number of wind farms installed all over the world. With the huge proliferation of wind farms, as an alternative to the traditional fossil power generation, the economic issues dictate the necessity of monitoring systems to optimize the availability and profits. The relatively high cost of operation and maintenance associated to wind power is a major issue. Wind turbines are most of the time located in remote areas or offshore and these factors increase the referred operation and maintenance costs. Good maintenance strategies are needed to increase the health management of wind turbines. The objective of this paper is to show the application of neural networks to analyze all the wind turbine information to identify possible future failures, based on previous information of the turbine.

Self-adaptive combination of global tabu search and local search for nonlinear equations

Solving systems of nonlinear equations is a very important task since the problems emerge mostly through the mathematical modelling of real problems that arise naturally in many branches of engineering and in the physical sciences. The problem can be naturally reformulated as a global optimization problem. In this paper, we show that a self-adaptive combination of a metaheuristic with a classical local search method is able to converge to some difficult problems that are not solved by Newton-type methods.

Overcoming the objectification of western classical music with the concept of music as a process

Dissertation to obtain the degree of Master in Music - Artistic Interpretation

Scheduling a cutting and treatment stainless steel sheet line with self-management capabilities

With advancement in computer science and information technology, computing systems are becoming increasingly more complex with an increasing number of heterogeneous components. They are thus becoming more difficult to monitor, manage, and maintain. This process has been well known as labor intensive and error prone. In addition, traditional approaches for system management are difficult to keep up with the rapidly changing environments. There is a need for automatic and efficient approaches to monitor and manage complex computing systems. In this paper, we propose an innovative framework for scheduling system management by combining Autonomic Computing (AC) paradigm, Multi-Agent Systems (MAS) and Nature Inspired Optimization Techniques (NIT). Additionally, we consider the resolution of realistic problems. The scheduling of a Cutting and Treatment Stainless Steel Sheet Line will be evaluated. Results show that proposed approach has advantages when compared with other scheduling systems

Meta-heuristics self-parameterization in a multi-agent scheduling system using case-based reasoning

This paper proposes a novel agent-based approach to Meta-Heuristics self-configuration. Meta-heuristics are algorithms with parameters which need to be set up as efficient as possible in order to unsure its performance. A learning module for self-parameterization of Meta-heuristics (MH) in a Multi-Agent System (MAS) for resolution of scheduling problems is proposed in this work. The learning module is based on Case-based Reasoning (CBR) and two different integration approaches are proposed. A computational study is made for comparing the two CBR integration perspectives. Finally, some conclusions are reached and future work outlined.

On-line self-healing of circuits implemented on reconfigurable FPGAs

To boost logic density and reduce per unit power consumption SRAM-based FPGAs manufacturers adopted nanometric technologies. However, this technology is highly vulnerable to radiation-induced faults, which affect values stored in memory cells, and to manufacturing imperfections. Fault tolerant implementations, based on Triple Modular Redundancy (TMR) infrastructures, help to keep the correct operation of the circuit. However, TMR is not sufficient to guarantee the safe operation of a circuit. Other issues like module placement, the effects of multi- bit upsets (MBU) or fault accumulation, have also to be addressed. In case of a fault occurrence the correct operation of the affected module must be restored and/or the current state of the circuit coherently re-established. A solution that enables the autonomous restoration of the functional definition of the affected module, avoiding fault accumulation, re-establishing the correct circuit state in real-time, while keeping the normal operation of the circuit, is presented in this paper.

A framework for self-healing radiation-tolerant implementations on reconfigurable FPGAs

To increase the amount of logic available in SRAM-based FPGAs manufacturers are using nanometric technologies to boost logic density and reduce prices. However, nanometric scales are highly vulnerable to radiation-induced faults that affect values stored in memory cells. Since the functional definition of FPGAs relies on memory cells, they become highly prone to this type of faults. Fault tolerant implementations, based on triple modular redundancy (TMR) infrastructures, help to keep the correct operation of the circuit. However, TMR is not sufficient to guarantee the safe operation of a circuit. Other issues like the effects of multi-bit upsets (MBU) or fault accumulation, have also to be addressed. Furthermore, in case of a fault occurrence the correct operation of the affected module must be restored and the current state of the circuit coherently re-established. A solution that enables the autonomous correct restoration of the functional definition of the affected module, avoiding fault accumulation, re-establishing the correct circuit state in realtime, while keeping the normal operation of the circuit, is presented in this paper.

A self-healing real-time system based on run-time self-reconfiguration

The new generations of SRAM-based FPGA (field programmable gate array) devices are the preferred choice for the implementation of reconfigurable computing platforms intended to accelerate processing in real-time systems. However, FPGA's vulnerability to hard and soft errors is a major weakness to robust configurable system design. In this paper, a novel built-in self-healing (BISH) methodology, based on run-time self-reconfiguration, is proposed. A soft microprocessor core implemented in the FPGA is responsible for the management and execution of all the BISH procedures. Fault detection and diagnosis is followed by repairing actions, taking advantage of the dynamic reconfiguration features offered by new FPGA families. Meanwhile, modular redundancy assures that the system still works correctly

Consistency and Context Management in a Multi Agent Belief Revision Testbed

Multi-agent architectures are well suited for complex inherently distributed problem solving domains. From the many challenging aspects that arise within this framework, a crucial one emerges: how to incorporate dynamic and conflicting agent beliefs? While the belief revision activity in a single agent scenario is concentrated on incorporating new information while preserving consistency, in a multi-agent system it also has to deal with possible conflicts between the agents perspectives. To provide an adequate framework, each agent, built as a combination of an assumption based belief revision system and a cooperation layer, was enriched with additional features: a distributed search control mechanism allowing dynamic context management, and a set of different distributed consistency methodologies. As a result, a Distributed Belief Revision Testbed (DiBeRT) was developed. This paper is a preliminary report presenting some of DiBeRT contributions: a concise representation of external beliefs; a simple and innovative methodology to achieve distributed context management; and a reduced inter-agent data exchange format.

Negotiation mechanism for self-organized scheduling system with collective intelligence

Current Manufacturing Systems challenges due to international economic crisis, market globalization and e-business trends, incites the development of intelligent systems to support decision making, which allows managers to concentrate on high-level tasks management while improving decision response and effectiveness towards manufacturing agility. This paper presents a novel negotiation mechanism for dynamic scheduling based on social and collective intelligence. Under the proposed negotiation mechanism, agents must interact and collaborate in order to improve the global schedule. Swarm Intelligence (SI) is considered a general aggregation term for several computational techniques, which use ideas and inspiration from the social behaviors of insects and other biological systems. This work is primarily concerned with negotiation, where multiple self-interested agents can reach agreement over the exchange of operations on competitive resources. Experimental analysis was performed in order to validate the influence of negotiation mechanism in the system performance and the SI technique. Empirical results and statistical evidence illustrate that the negotiation mechanism influence significantly the overall system performance and the effectiveness of Artificial Bee Colony for makespan minimization and on the machine occupation maximization.